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Contact

Language Skills

R
Stata
Bash
Python
C++

Disclaimer

Last updated on 2021-08-24.

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Megan Hollister Murray

Education

Ph.D. Candidate, Biostatistics

Vanderbilt University

Nashville, TN

Current - 2017

  • Advisor: Jeffrey D. Blume
  • False Discovery rates, Machine Learning methods, and Second Generation p-values
  • Expected graduation: Summer 2022

B.S., Mathematics

Baylor University

Waco,TX

2017 - 2013

  • Honors Thesis: Multi-Parameter Functions in Chaotic Dynamical Systems

Research Experience

Graduate Research Assistant

Vanderbilt University

Nashville, TN

Current - 2020

  • Identifying determinants of racial disparities in lung cancer stage
  • Contributed to the research findings and writing of a $1.25M multi-investigator federal grant

Research & Development Statistics Intern

Eli Lilly

N/A

2020

  • In the Real World Analytics team under the direct supervision of Anthony Zagar.
  • Extended the Frequentist Model Averaging technique to survival outcomes.

NIH TL1 Trainee

Vanderbilt University

Nashville, TN

2020 - 2018

  • An evaluation of machine learning and classical statistical methods for discovery in large-scale translational data.
  • Compared machine learning methods and statistical inference methods for discovery in large-scale translational data.

Statistical Evidence in Data Science Lab

Vanderbilt University

Nashville, TN

2019 - 2018

  • “Large-Scale Inference” by Bradley Efron
  • A small group of students and professors read through and discussed in detail the first 6 chapters of Efron’s book along with a selection of complimentary papers.

Teaching Experience

Probability & Statistical Inference

Vanderbilt Data Science Department

Nashville, TN

Current - 2019

  • Head TA
  • Masters course covers the fundamentals of probability theory and statistical inference.

Contemporary Statistical Inference

Vanderbilt Biostatistics Department

Nashville, TN

2021 - 2020

  • TA and lectured
  • Graduate course focuses on the goals of statistical tools for inference.

Selected Publications, Posters, and Talks

FDRestimation: Flexible False Discovery Rate Computation in R

F1000 Research

N/A

2021

Immunotherapy-Mediated Thyroid Dysfunction: Genetic Risk and Impact on Outcomes with PD-1 Blockade in Non–Small Cell Lung Cancer

Clinical Cancer Research

N/A

2021

Factors Influencing Precision Medicine Knowledge and Attitudes

PLOS One Paper

N/A

2020

False Discovery Rate Computation: Illustrations and Modifications

ENAR Conference Short Oral Presentation

N/A

2021

FDRestimation: Flexible False Discovery Rate Computation in R

Vanderbilt Biostatistics Seminar

N/A

2021

An evaluation of machine learning and classical statistical methods for discovery in large-scale translational data.

ENAR Conference Short Oral Presentation

Philadelphia, PA

2019

An evaluation of machine learning and classical statistical methods for discovery in large-scale translational data.

ACTS Conference Poster Presentation

Washington D.C.

2019

  • Ranked in the top 25% of posters.

Awards and Scholarships

Exceptional Teaching Assistant Award

Vanderbilt Data Science Department

Nashville, TN

2021 - 2020

  • Awarded to both a first year course and second year course teaching assistant to recognize exceptional support and dedication to peer education.

Distinguished Teaching Assistant

Vanderbilt Biostatistics Department

Nashville, TN

2020 - 2019

  • Awarded each year based on student recommendations for a helpful and intelligent TA.